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Context-aware access control with imprecise context characterization through a combined fuzzy logic and ontology-based approach.pdf (1.34 MB)

Context-aware access control with imprecise context characterization through a combined fuzzy logic and ontology-based approach

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conference contribution
posted on 10.11.2020, 03:05 by A S M Kayes, Johanna Rahayu, Tharam Dillon, E Chang, J Han
© 2017, Springer International Publishing AG. Context information plays a crucial role in dynamically changing environments and the different types of contextual conditions bring new challenges to access control. This information mostly can be derived from the crisp sets. For example, we can utilize a crisp set to derive a patient and nurse are co-located in the general ward of the hospital or not. Some of the context information characterizations cannot be made using crisp sets, however, they are equally important in order to make access control decisions. For example, a patient’s current health status is “critical” or “high critical” which are imprecise fuzzy facts, whereas “95% level of maximum blood pressure allowed” is precise. Thus, there is a growing need for integrating these kinds of fuzzy and other conditions to appropriately control context-specific access to information resources at different granularity levels. Towards this goal, this paper introduces an approach to Context-Aware Access Control using Fuzzy logic (FCAAC) for information resources. It includes a formal context model to represent the fuzzy and other contextual conditions. It also includes a formal policy model to specify the policies by utilizing these conditions. Using our formal approach, we combine the fuzzy model with an ontology-based approach that captures such contextual conditions and incorporates them into the policies, utilizing the ontology languages and the fuzzy logic-based reasoning. We justify the feasibility of our approach by demonstrating the practicality through a prototype implementation and a healthcare case study, and also evaluating the performance in terms of response time.

History

Publication Date

20/10/2017

Proceedings

Lecture Notes in Computer Science

Editors

Panetto H Debruyne C Paschke A Ardagna CA Gaaloul W Meersman R Papazoglou M

Publisher

Springer Nature

Place of publication

Cham, Switzerland

Series

Lecture Notes in Computer Science [1611-3349]

Volume

10573

Pagination

12p. (p. 132-153)

ISBN-13

9783319694610

ISSN

0302-9743

Name of conference

25th International Conference on Cooperative Information Systems, CoopIS 2017

Location

Rhodes

Starting Date

23/10/2017

Finshing Date

27/10/2017

Rights Statement

The Author reserves all moral rights over the deposited text and must be credited if any re-use occurs. Documents deposited in OPAL are the Open Access versions of outputs published elsewhere. Changes resulting from the publishing process may therefore not be reflected in this document. The final published version may be obtained via the publisher’s DOI. Please note that additional copyright and access restrictions may apply to the published version.

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